CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data. - Fayyaz ul Amir Afsar Minhas; Amina Asif; Muhammad Arif 006 (Comput. Biol. Medicine, 2016)

Machine Learning with Abstention for Automated Liver Disease Diagnosis. - Kanza Hamid; Amina Asif; Wajid Arshad Abbasi; Durre Sabih; Fayyaz ul Amir Afsar Minhas (FIT, 2017)

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications. - Amina Asif; Wajid Arshad Abbasi; Farzeen Munir; Asa Ben-Hur; Fayyaz ul Amir Afsar Minhas (CoRR, 2017)

Training large margin host-pathogen protein-protein interaction predictors. - Abdul Hannan Basit; Wajid Arshad Abbasi; Amina Asif; Fayyaz ul Amir Afsar Minhas (CoRR, 2017)

Learning protein binding affinity using privileged information. - Wajid Arshad Abbasi; Amina Asif; Asa Ben-Hur; Fayyaz ul Amir Afsar Minhas (BMC Bioinform., 2018)

A generalized meta-loss function for distillation and learning using privileged information for classification and regression. - Amina Asif; Muhammad Dawood; Fayyaz ul Amir Afsar Minhas (CoRR, 2018)

Training host-pathogen protein-protein interaction predictors. - Abdul Hannan Basit; Wajid Arshad Abbasi; Amina Asif; Sadaf Gull; Fayyaz ul Amir Afsar Minhas (J. Bioinform. Comput. Biol., 2018)

Correlation Filters for Detection of Cellular Nuclei in Histopathology Images. - Asif Ahmad; Amina Asif; Nasir M. Rajpoot; Muhammad Arif 006; Fayyaz ul Amir Afsar Minhas (J. Medical Syst., 2018)

Ten ways to fool the masses with machine learning. - Fayyaz ul Amir Afsar Minhas; Amina Asif; Asa Ben-Hur (CoRR, 2019)

Generalized Learning with Rejection for Classification and Regression Problems. - Amina Asif; Fayyaz ul Amir Afsar Minhas (CoRR, 2019)

Learning Neural Activations. - Fayyaz ul Amir Afsar Minhas; Amina Asif (CoRR, 2019)

An embarrassingly simple approach to neural multiple instance classification. - Amina Asif; Fayyaz ul Amir Afsar Minhas (Pattern Recognit. Lett., 2019)

Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients. - Asfand Yaar; Amina Asif; Shan E Ahmed Raza; Nasir M. Rajpoot; Fayyaz A. Minhas (CVPR Workshops, 2020)

Generalized Neural Framework for Learning with Rejection. - Amina Asif; Fayyaz ul Amir Afsar Minhas (IJCNN, 2020)

PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning. - Amina Asif; Muhammad Dawood; Bismillah Jan; Javaid Khurshid; Mark DeMaria; Fayyaz ul Amir Afsar Minhas (Neural Comput. Appl., 2020)

Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery. - Muhammad Dawood; Amina Asif; Fayyaz ul Amir Afsar Minhas (Neural Comput. Appl., 2020)

A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression. - Amina Asif; Muhammad Dawood; Fayyaz ul Amir Afsar Minhas (ICANN (3), 2021)

Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. - Alex Foote; Amina Asif; Ayesha Azam; Tim Marshall-Cox; Nasir M. Rajpoot; Fayyaz A. Minhas (CoRR, 2021)

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. - Amina Asif; Kashif Rajpoot; David R. J. Snead; Fayyaz A. Minhas; Nasir M. Rajpoot (CoRR, 2021)

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. - Le Huang; Bowen Yang; Haidong Yi; Amina Asif; Jiawei Wang 002; Trevor Lithgow; Han Zhang 017; Fayyaz ul Amir Afsar Minhas; Yanbin Yin (Nucleic Acids Res., 2021)

MILAMP: Multiple Instance Prediction of Amyloid Proteins. - Farzeen Munir; Sadaf Gull; Amina Asif; Fayyaz ul Amir Afsar Minhas (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

REET: robustness evaluation and enhancement toolbox for computational pathology. - Alex Foote; Amina Asif; Nasir M. Rajpoot; Fayyaz A. Minhas (Bioinform., 2022)

Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images. - Ruoyu Wang 027; Syed Ali Khurram; Amina Asif; Lawrence Young; Nasir M. Rajpoot (CoRR, 2022)

An aggregation of aggregation methods in computational pathology. - Mohsin Bilal; Robert Jewsbury; Ruoyu Wang 027; Hammam M. AlGhamdi; Amina Asif; Mark Eastwood; Nasir M. Rajpoot (Medical Image Anal., 2023)

Knowledge Distillation for Enabling Efficient AI-Based Skin Cancer Detection in Resource-Constrained Environments. - Preya Thaker; Amina Asif (MICAD, 2024)

Towards face anti-spoofing. - Muhammad Ibrahim Syed; Amina Asif; Mohsin Shahzad; Uzair Khan; Sumair Khan; Zahid Mahmood (J. Exp. Theor. Artif. Intell., 2025)